Paper Key : IRJ************212
Author: Saisree Sweatcha Krishnan. Pamula
Date Published: 01 Dec 2024
Abstract
Wearable healthcare technology includes electronic devices worn on the body to monitor health metrics and provide real-time feedback. Devices like fitness trackers, smartwatches, and specialized medical equipment track vital signs such as heart rate, blood pressure, and glucose levels. This technology has revolutionized health monitoring by enabling continuous, personalized tracking of an individuals well-being, often integrated with smartphones and other digital platforms. Artificial Intelligence (AI) plays a crucial role in Smart healthcare by processing the vast amounts of data collected by wearable sensors. AI excels at analyzing data, recognizing patterns, and predicting outcomes, making it essential for enhancing healthcare. For example, AI can detect irregularities in heart rhythms, alerting users or healthcare providers to potential health issues before they escalate. Machine Learning (ML), a subset of AI, further improves these capabilities. ML algorithms like Nave Bayes, SVM, KNN, and ANN enable systems to learn from data and become more accurate over time. These algorithms enhance AIs ability to personalize health and fitness recommendations, resulting in more effective interventions. The integration of AI, ML, and wearable healthcare technology marks a significant step forward in smart healthcare, enabling proactive and personalized health management. This combination transforms raw health data into actionable insights, significantly improving patient care and outcomes.